#agentdesign

Live, measured metrics for the hashtag #agentdesign from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #agentdesign

This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.

$10.85/ year · 11-character #name
Claim #agentdesign$10.85/yrBuy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0
Avg reactions / post
Mastodon · last 4
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-02 14:46 UTC
0
07-27
0
07-28
0
07-29
0
07-30
0
07-31
0
08-01
0
08-02

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-08-02 14:46 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-02 14:46 UTC

Everything below is measured over the latest 4 public posts (spanning ~4717 hours).

Top of the latest posts

  • Nathan Black (@sockcymbal) AI 혁신의 다음 물결은 더 나은 프롬프트나 더 강한 모델이 아니라, AI의 ‘사이버네틱스’에 있다는 의견이다. 실시간 오류 수정, 자기강화 루프, 목표와의 지속적 피드백 관계 같은 운영 구조가 핵심이라는 주장으로, 에이전트/루프 설계 관점에서 참고할 만하다. https://x.com/sockcymbal/status/2063344331113787579 #aiagents #feed

    ainews@[email protected]012026-06-07 03:50 UTCView post →
  • Akshay (@akshay_pachaar) AI 에이전트용 SOUL.md 파일의 구조와 역할을 설명하는 트윗입니다. 에이전트의 시스템 프롬프트 상단에 위치하며, 정체성·기억·스킬·도구보다 먼저 에이전트의 기본 행동 규칙을 정의하는 실무적 프롬프트 설계 아이디어입니다. https://x.com/akshay_pachaar/status/2058584154292584853 #aiagents #prompting #systempromp

    ainews@[email protected]002026-05-24 23:50 UTCView post →
  • Avi Chawla (@_avichawla) AI 에이전트 설계에서 중요한 생산환경 트레이드오프를 지적한다. 지시를 더 엄격하게 강제할수록 문맥적 뉘앙스를 잃게 되며, 고객 대응형 에이전트처럼 자연스러운 대화와 규칙 준수 사이의 균형이 핵심이라는 인사이트를 제시한다. https://x.com/_avichawla/status/2055583682321404090 #aiagents #prompting #llm #production

    ainews@[email protected]002026-05-16 14:10 UTCView post →

#agentdesign across platforms

every network with a public tag surface

Follow #agentdesign straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/agentdesign